Download or read book Measuring Income Risk written by and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Measuring income risk written by Simon M. Burgess and published by . This book was released on 2000 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Measuring Income Risk written by Simon M. Burgess and published by . This book was released on 2000 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modeling Measuring and Understanding the Sources of Household Income Risk written by Ivan Vidangos and published by . This book was released on 2007 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Measuring Market Risk with Value at Risk written by Pietro Penza and published by John Wiley & Sons. This book was released on 2001 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book, Measuring Market Risk with Value at Risk by Vipul Bansal and Pietro Penza, has three advantages over earlier works on the subject. First, it takes a decidedly global approach-an essential ingredient for any comprehensive work on market risk. Second, it ties the scientifically grounded, yet intuitively appealing, VaR measure to earlier, more idiosyncratic measures of market risk that are used in specific market environs (e.g., duration in fixed income). Finally, it encompasses all of the accepted approaches to calculating a VaR measure and presents them in a clearly explained fashion with supporting illustrations and completely worked-out examples." -from the Foreword by John F. Marshall, PhD, Principal, Marshall, Tucker & Associates, LLC "Measuring Market Risk with Value at Risk offers a much-needed intellectual bridge, a translation from the esoteric realm of mathematical finance to the domain of financial managers who seek guidance in applying developments from this important field of research as well as that of MBA-level graduate instruction. I believe the authors have done a commendable job of providing a carefully crafted, highly readable, and most useful work, and intend to recommend it to all those involved in business risk management applications." -Anthony F. Herbst, PhD, Professor of Finance and C.R. and D.S. Carter Chair, The University of Texas, El Paso and Founding editor of The Journal of Financial Engineering (1991-1998) "Finally there's a book that strikes a balance between rigor and application in the area of risk management in the banking industry. This innovative book is a MUST for both novices and professionals alike." -Robert P. Yuyuenyongwatana, PhD, Associate Professor of Finance, Cameron University "Measuring Market Risk with Value at Risk is one of the most complete discussions of this emerging topic in finance that I have seen. The authors develop a logical and rigorous framework for using VaR models, providing both historical references and analytical applications." -Kevin Wynne, PhD, Associate Professor of Finance, Lubin School of Business, Pace University

Download or read book International Convergence of Capital Measurement and Capital Standards written by and published by Lulu.com. This book was released on 2004 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Measuring Risk Aversion written by Donald J. Meyer and published by Now Publishers Inc. This book was released on 2006 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a detailed discussion of the adjustment of risk references and how to go about making such adjustments to a common scale. By adjusting all information to this common scale, results across studies can be easily summarized and compared, and the body of information concerning risk aversion can be examined as a whole

Download or read book Optimization Based Models for Measuring and Hedging Risk in Fixed Income Markets written by Johan Hagenbjörk and published by Linköping University Electronic Press. This book was released on 2019-12-09 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: The global fixed income market is an enormous financial market whose value by far exceeds that of the public stock markets. The interbank market consists of interest rate derivatives, whose primary purpose is to manage interest rate risk. The credit market primarily consists of the bond market, which links investors to companies, institutions, and governments with borrowing needs. This dissertation takes an optimization perspective upon modeling both these areas of the fixed-income market. Legislators on the national markets require financial actors to value their financial assets in accordance with market prices. Thus, prices of many assets, which are not publicly traded, must be determined mathematically. The financial quantities needed for pricing are not directly observable but must be measured through solving inverse optimization problems. These measurements are based on the available market prices, which are observed with various degrees of measurement noise. For the interbank market, the relevant financial quantities consist of term structures of interest rates, which are curves displaying the market rates for different maturities. For the bond market, credit risk is an additional factor that can be modeled through default intensity curves and term structures of recovery rates in case of default. By formulating suitable optimization models, the different underlying financial quantities can be measured in accordance with observable market prices, while conditions for economic realism are imposed. Measuring and managing risk is closely connected to the measurement of the underlying financial quantities. Through a data-driven method, we can show that six systematic risk factors can be used to explain almost all variance in the interest rate curves. By modeling the dynamics of these six risk factors, possible outcomes can be simulated in the form of term structure scenarios. For short-term simulation horizons, this results in a representation of the portfolio value distribution that is consistent with the realized outcomes from historically observed term structures. This enables more accurate measurements of interest rate risk, where our proposed method exhibits both lower risk and lower pricing errors compared to traditional models. We propose a method for decomposing changes in portfolio values for an arbitrary portfolio into the risk factors that affect the value of each instrument. By demonstrating the method for the six systematic risk factors identified for the interbank market, we show that almost all changes in portfolio value and portfolio variance can be attributed to these risk factors. Additional risk factors and approximation errors are gathered into two terms, which can be studied to ensure the quality of the performance attribution, and possibly improve it. To eliminate undesired risk within trading books, banks use hedging. Traditional methods do not take transaction costs into account. We, therefore, propose a method for managing the risks in the interbank market through a stochastic optimization model that considers transaction costs. This method is based on a scenario approximation of the optimization problem where the six systematic risk factors are simulated, and the portfolio variance is weighted against the transaction costs. This results in a method that is preferred over the traditional methods for all risk-averse investors. For the credit market, we use data from the bond market in combination with the interbank market to make accurate measurements of the financial quantities. We address the notoriously difficult problem of separating default risk from recovery risk. In addition to the previous identified six systematic risk factors for risk-free interests, we identify four risk factors that explain almost all variance in default intensities, while a single risk factor seems sufficient to model the recovery risk. Overall, this is a higher number of risk factors than is usually found in the literature. Through a simple model, we can measure the variance in bond prices in terms of these systematic risk factors, and through performance attribution, we relate these values to the empirically realized variances from the quoted bond prices. De globala ränte- och kreditmarknaderna är enorma finansiella marknader vars sammanlagda värden vida överstiger de publika aktiemarknadernas. Räntemarknaden består av räntederivat vars främsta användningsområde är hantering av ränterisker. Kreditmarknaden utgörs i första hand av obligationsmarknaden som syftar till att förmedla pengar från investerare till företag, institutioner och stater med upplåningsbehov. Denna avhandling fokuserar på att utifrån ett optimeringsperspektiv modellera både ränte- och obligationsmarknaden. Lagstiftarna på de nationella marknaderna kräver att de finansiella aktörerna värderar sina finansiella tillgångar i enlighet med marknadspriser. Därmed måste priserna på många instrument, som inte handlas publikt, beräknas matematiskt. De finansiella storheter som krävs för denna prissättning är inte direkt observerbara, utan måste mätas genom att lösa inversa optimeringsproblem. Dessa mätningar görs utifrån tillgängliga marknadspriser, som observeras med varierande grad av mätbrus. För räntemarknaden utgörs de relevanta finansiella storheterna av räntekurvor som åskådliggör marknadsräntorna för olika löptider. För obligationsmarknaden utgör kreditrisken en ytterligare faktor som modelleras via fallissemangsintensitetskurvor och kurvor kopplade till förväntat återvunnet kapital vid eventuellt fallissemang. Genom att formulera lämpliga optimeringsmodeller kan de olika underliggande finansiella storheterna mätas i enlighet med observerbara marknadspriser samtidigt som ekonomisk realism eftersträvas. Mätning och hantering av risker är nära kopplat till mätningen av de underliggande finansiella storheterna. Genom en datadriven metod kan vi visa att sex systematiska riskfaktorer kan användas för att förklara nästan all varians i räntekurvorna. Genom att modellera dynamiken i dessa sex riskfaktorer kan tänkbara utfall för räntekurvor simuleras. För kortsiktiga simuleringshorisonter resulterar detta i en representation av fördelningen av portföljvärden som väl överensstämmer med de realiserade utfallen från historiskt observerade räntekurvor. Detta möjliggör noggrannare mätningar av ränterisk där vår föreslagna metod uppvisar såväl lägre risk som mindre prissättningsfel jämfört med traditionella modeller. Vi föreslår en metod för att dekomponera portföljutvecklingen för en godtycklig portfölj till de riskfaktorer som påverkar värdet för respektive instrument. Genom att demonstrera metoden för de sex systematiska riskfaktorerna som identifierats för räntemarknaden visar vi att nästan all portföljutveckling och portföljvarians kan härledas till dessa riskfaktorer. Övriga riskfaktorer och approximationsfel samlas i två termer, vilka kan användas för att säkerställa och eventuellt förbättra kvaliteten i prestationshärledningen. För att eliminera oönskad risk i sina tradingböcker använder banker sig av hedging. Traditionella metoder tar ingen hänsyn till transaktionskostnader. Vi föreslår därför en metod för att hantera riskerna på räntemarknaden genom en stokastisk optimeringsmodell som också tar hänsyn till transaktionskostnader. Denna metod bygger på en scenarioapproximation av optimeringsproblemet där de sex systematiska riskfaktorerna simuleras och portföljvariansen vägs mot transaktionskostnaderna. Detta resulterar i en metod som, för alla riskaverta investerare, är att föredra framför de traditionella metoderna. På kreditmarknaden använder vi data från obligationsmarknaden i kombination räntemarknaden för att göra noggranna mätningar av de finansiella storheterna. Vi angriper det erkänt svåra problemet att separera fallissemangsrisk från återvinningsrisk. Förutom de tidigare sex systematiska riskfaktorerna för riskfri ränta, identifierar vi fyra riskfaktorer som förklarar nästan all varians i fallissemangsintensiteter, medan en enda riskfaktor tycks räcka för att modellera återvinningsrisken. Sammanlagt är detta ett större antal riskfaktorer än vad som brukar användas i litteraturen. Via en enkel modell kan vi mäta variansen i obligationspriser i termer av dessa systematiska riskfaktorer och genom prestationshärledningen relatera dessa värden till de empiriskt realiserade varianserna från kvoterade obligationspriser.

Download or read book Practical Risk Adjusted Performance Measurement written by Carl R. Bacon and published by John Wiley & Sons. This book was released on 2021-10-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore different measures of ex-post risk-adjusted performance measurement and learn to choose the correct one In the newly revised Second Edition of Practical Risk-Adjusted Performance Measurement, accomplished risk and investment expert Carl R. Bacon delivers an insightful, accessible, and real-world guide to ex-post risk measurement. The author bridges the gap between theory and practice, showing you how to apply the former to the latter without introducing unnecessary mathematical complexity. The book describes the fundamentals of risk in the asset management context and the descriptive statistics used to describe it. It builds on that foundation with detailed examinations of concepts like regression, drawdown, and partial moments, before moving on to topics like fixed income risk and Prospect Theory. With helpful additions that include recently developed measures of risk, supplementary explanatory sections, and six brand-new chapters, this book also offers: A practical classification of all ex-post risk measures and how they connect to one another An explanation of how risk-adjusted performance measures impact performance fees A discussion of risk measure dashboard designs Instructions on how appraisal measures should be used for manager selection Perfect for portfolio managers, asset owners, risk controllers, and investment performance analysts, Practical Risk-Adjusted Performance Measurement is an indispensable resource for anyone looking for a hands-on exploration of the buy-side, asset management perspective.

Download or read book Medical Care Economic Risk written by Panel on Measuring Medical Care Risk in Conjunction with the New Supplemental Income Poverty Measure and published by National Academies Press. This book was released on 2013-01-24 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: The United States has seen major advances in medical care during the past decades, but access to care at an affordable cost is not universal. Many Americans lack health care insurance of any kind, and many others with insurance are nonetheless exposed to financial risk because of high premiums, deductibles, co-pays, limits on insurance payments, and uncovered services. One might expect that the U.S. poverty measure would capture these financial effects and trends in them over time. Yet the current official poverty measure developed in the early 1960s does not take into account significant increases and variations in medical care costs, insurance coverage, out-of-pocket spending, and the financial burden imposed on families and individuals. Although medical costs consume a growing share of family and national income and studies regularly document high rates of medical financial stress and debt, the current poverty measure does not capture the consequences for families' economic security or their income available for other basic needs. In 1995, a panel of the National Research Council (NRC) recommended a new poverty measure, which compares families' disposable income to poverty thresholds based on current spending for food, clothing, shelter, utilities, and a little more. The panel's recommendations stimulated extensive collaborative research involving several government agencies on experimental poverty measures that led to a new research Supplemental Poverty Measure (SPM), which the U.S. Census Bureau first published in November 2011 and will update annually. Analyses of the effects of including and excluding certain factors from the new SPM showed that, were it not for the cost that families incurred for premiums and other medical expenses not covered by health insurance, 10 million fewer people would have been poor according to the SPM. The implementation of the patient Protection and Affordable Care Act (ACA) provides a strong impetus to think rigorously about ways to measure medical care economic burden and risk, which is the basis for Medical Care Economic Risk. As new policies - whether part of the ACA or other policies - are implemented that seek to expand and improve health insurance coverage and to protect against the high costs of medical care relative to income, such measures will be important to assess the effects of policy changes in both the short and long term on the extent of financial burden and risk for the population, which are explained in this report.

Download or read book The Effect of Income Risk Asset Risk and Policy Risk on Household Behaviour written by and published by . This book was released on 2012 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Measuring Market Risk written by Kevin Dowd and published by John Wiley & Sons. This book was released on 2003-02-28 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most up-to-date resource on market risk methodologies Financial professionals in both the front and back office require an understanding of market risk and how to manage it. Measuring Market Risk provides this understanding with an overview of the most recent innovations in Value at Risk (VaR) and Expected Tail Loss (ETL) estimation. This book is filled with clear and accessible explanations of complex issues that arise in risk measuring-from parametric versus nonparametric estimation to incre-mental and component risks. Measuring Market Risk also includes accompanying software written in Matlab—allowing the reader to simulate and run the examples in the book.

Download or read book Interest Rate Risk Measurement and Management written by Sanjay K. Nawalkha and published by I.I. Books. This book was released on 1999 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest Rate Risk Measurement and Management presents a collection of the key contributions in fixed-income investment research. This complete practitioners' manual showcases every major topic in interest rate risk management with detailed analyses and full treatment of equations and statistical measures. It is a substantial investment resource on: single and multi-factor duration risk measures; interest rate risk models for fixed income derivatives; and interest rate risk models for depositories, thrifts, the FDIC, insurers and pension funds.

Download or read book Measuring how risk tradeoffs adjust with income written by Mary Frances Evans and published by . This book was released on 2009 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: Efforts to reconcile inconsistencies between theory and estimates of the income elasticity of the value of a statistical life (IEVSL) overlook important restrictions implied by a more complete description of the individual choice problem. We develop a more general model of the IEVSL that reconciles some of the observed discrepancies. Our framework describes how exogenous income shocks, such as unexpected medical expenditures, may affect labor supply decisions which in turn influence both the coefficient of relative risk aversion and the IEVSL. The presence of a consumption commitment, such as a home mortgage, also alters this labor supply adjustment. We use data from the Health and Retirement Study to explore the responsiveness of labor force exit decisions to spousal health shocks and the role of a home mortgage as a constraint on this response.

Download or read book World Income Components written by Robert J. Shiller and published by . This book was released on 1995 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: We provide methods of decomposing the variance of world national incomes into components in such a way as to indicate the most important risk-sharing opportunities, and, therefore, the most important missing international risk markets to establish. One method uses a total variance reduction criterion, and identifies risk-sharing opportunities in terms of eigenvectors of a variance matrix of residuals produced when country incomes are regressed on world income. Another method uses a mean-variance utility-maximizing criterion and identifies risk-sharing opportunities in terms of eigenvectors of a variance matrix of deviations of country incomes from their respective contract-year shares of world income. The two methods are applied using Summers-Heston (1991) data on national incomes for large countries 1950-1990, each using two different methods of estimating variances. While these data are not sufficient to provide accurate estimates of the requisite variance matrices of (transformed) national incomes, the results are suggestive of important new markets that could actually be created, and show that there may be large welfare gains to creating some of these markets.

Download or read book Risk and the Extent of Insurance written by Garance Genicot and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book World Income Components written by Stefano Athanasoulis and published by . This book was released on 1995 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: